Sr. Staff Data Engineer
Illumio is hiring a Sr. Staff Data Engineer in Sunnyvale, United States. It pays $208k-$250k a year and Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- The listed pay starts 39% above the typical data engineer posting on Level.
- Level files it as a lead role.
- Level lists 63 other open roles at Illumio.
- The role was posted in the last few days.
AI in this role
Onwards Together!
Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments – stopping the spread of attacks before they become disasters.
Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running.
Location: 4 on-site days a week in Sunnyvale, CA Headquarters.
Our Team's Vision:
Our IT team is the trusted technology partner that empowers Illumio to innovate, scale, and lead. We create seamless digital experiences, deliver reliable and secure applications, unlock the value of data, and enable every employee to do their best work from anywhere.
By combining enterprise applications, data and AI services, cloud and infrastructure engineering, cybersecurity, and workplace technologies, we provide the foundation that powers business growth and operational excellence.
We are innovators, builders, and stewards of technology tasked with driving automation, accelerating decision-making, safeguarding critical assets, and continually advancing the capabilities that help Illumio achieve its mission.
Your Impact:
Own and support Fabric AI initiatives in support of Organization wide projects using our Fabric Data Warehouse. Own and support enterprise data pipelines, Microsoft Fabric and Power BI solutions, and analytics operations. This role expands engineering capacity during the Domo-to-Fabric PowerBI migration and provides durable production support, data-quality management, report development, governance execution, and business enablement across Finance, Sales, Marketing, Customer Support, Customer Success, and Engineering.
Design, build, test, maintain, and monitor Fabric Data Agents supporting business AI initiatives.
Design, build, test, deploy, monitor, and support Fabric data pipelines, transformations, semantic models, and Power BI solutions.
Triage pipeline failures, report defects, refresh issues, access problems, and data-quality incidents; perform root-cause analysis and maintain runbooks.
Migrate business dashboards and datasets into governed Fabric and Power BI solutions.
Build reports and validate measures and metrics across connected dashboards and source systems.
Administer workspaces, permissions, deployment processes, service principals, monitoring, and lifecycle controls.
Partner with business functions on requirements, data mapping, testing, release readiness, documentation, training, and adoption.
Contribute to Analytics Center of Excellence standards, reusable patterns, governance, cataloging, and platform planning.
Your Toolkit:
6+ years in data engineering, analytics engineering, BI development, or a related enterprise data role.
Strong SQL, Python, PySpark and hands-on experience with Microsoft Fabric and Power BI.Experience building and supporting ETL/ELT pipelines, transformations, validations, semantic models, and production reporting.
Working knowledge of Fabric and Power BI security, permissions, workspace design, and deployment practices.
Working knowledge of Microsoft AI ecosystem and Fabric Data Agent architecture, design and solutions.
Strong troubleshooting, data-flow analysis, documentation, testing, and production-support skills.
Ability to translate business requirements into scalable, governed, secure, and supportable analytics solutions.
Effective collaboration across distributed teams.
Preferred: experience Azure data services, PowerBI, Microsoft AI ecosystem, DevOps, APIs, data governance, and AI-ready analytics platforms.
#LI-PO1 #LI-ONSITE
Our Commitment
Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions creates a culture of belonging, drives our future, and makes us stronger together in support of our customers and their success.
All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.
How we rate this
Sr. Staff Data Engineer at Illumio rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in data engineer jobs at this level
Pay
- This job starts at
- $208k
- Typical data engineer job
- $150k
This posting starts 39% above the typical data engineer job. See data engineer jobs
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